Adjusted Relative Risk Estimates of Maternal Thyrotoxicosis in Relation to Pregnancy
Adjusted Relative Risk Estimates of Maternal Thyrotoxicosis in Relation to Pregnancy [Background] This dataset is published under the title "Adjusted relative risk estimates of maternal Thyrotoxicosis in relation to pregnancy.". Companion paper: "Pregnancy and the Risk of Autoimmune Disease", PLoS ONE (2011), DOI: 10.1371/journal.pone.0019658. First published on 2013-02-20. [Content] Vaginal delivery and CS models were adjusted for age, calendar year, infant sex and place of birth. Abortion models were adjusted for age, calendar year, infant place of birth. We had no information about fetal sex or number of babies in abortions. [Structure and specifications] 1 file(s), 5.63 KB in total. Dataset DOI: 10.1371/journal.pone.0019658.t006. [Topics] Subject categories: Cell Biology, Immunology. Tags: estimates, maternal, thyrotoxicosis, relation. [Intended use] Subject categories as labelled by the source: Cell Biology, Immunology. [Access and licence] Source page: https://plos.figshare.com/articles/dataset/_Adjusted_relative_risk_estimates_of_maternal_Thyrotoxicosis_in_relation____to_pregnancy_/445140 License: CC BY 4.0. Please cite as: S. Khashan, Ali; Kenny, Louise C.; M. Laursen, Thomas; Mahmood, Uzma; B. Mortensen, Preben; B. Henriksen, Tine; et al. (2015). Adjusted relative risk estimates of maternal Thyrotoxicosis in relation to pregnancy.. PLOS ONE. Dataset
Basic Info
About
Adjusted Relative Risk Estimates of Maternal Thyrotoxicosis in Relation to Pregnancy
[Background]
This dataset is published under the title "Adjusted relative risk estimates of maternal Thyrotoxicosis in relation
to pregnancy.". Companion paper: "Pregnancy and the Risk of Autoimmune Disease", PLoS ONE (2011), DOI: 10.1371/journal.pone.0019658. First published on 2013-02-20.
[Content]
Vaginal delivery and CS models were adjusted for age, calendar year,
infant sex and place of birth. Abortion models were adjusted for age,
calendar year, infant place of birth. We had no information about fetal
sex or number of babies in abortions.
[Structure and specifications]
1 file(s), 5.63 KB in total. Dataset DOI: 10.1371/journal.pone.0019658.t006.
[Topics]
Subject categories: Cell Biology, Immunology. Tags: estimates, maternal, thyrotoxicosis, relation.
[Intended use]
Subject categories as labelled by the source: Cell Biology, Immunology.
[Access and licence]
Source page: https://plos.figshare.com/articles/dataset/_Adjusted_relative_risk_estimates_of_maternal_Thyrotoxicosis_in_relation____to_pregnancy_/445140
License: CC BY 4.0.
Please cite as: S. Khashan, Ali; Kenny, Louise C.; M. Laursen, Thomas; Mahmood, Uzma; B. Mortensen, Preben; B. Henriksen, Tine; et al. (2015). Adjusted relative risk estimates of maternal Thyrotoxicosis in relation to pregnancy.. PLOS ONE. Dataset
Official Service
Dual Bases in Shaanxi & Sichuan × Direct Access to 10+ Grade-A Tertiary Hospitals
From compliant authorization and collection governance to professional annotation and dataset delivery, we provide a closed-loop, end-to-end service that makes high-quality clinical data ready to use.
⚡️ Need raw data or annotation support? Contact us for a custom solution.
Download
注册下载
Requires a Kaggle account and sign-in to download — suited for users who need to track download history or use the API.
Unavailable公开下载
No registration needed — directly access public samples or documents, ideal for quickly previewing and evaluating dataset quality.
免登录有偿下载
Entrusted download and technical delivery service for public datasets.
提供高速下载与技术交付服务（收技术服务费，非数据销售）
UnavailableThis dataset is primarily hosted publicly on Kaggle. For the complete image package, use the source link or the Kaggle API.
Usage
数据集获取（Figshare）
按页面 Download 按钮获取。
数据说明
该数据集提供了关于母体甲状腺毒症（甲状腺功能亢进症）与妊娠结局相关性的调整后相对风险估计。数据来源于临床研究，包含针对不同分娩方式（如阴道分娩和剖腹产）以及流产情况的风险模型，其中阴道分娩和剖腹产模型已根据产妇年龄、日历年份、婴儿性别和出生地点进行调整，而流产模型则根据产妇年龄、日历年份和婴儿出生地点进行调整。数据以表格形式呈现，主要应用于妊娠期甲状腺疾病的风险评估、围产期健康研究以及公共卫生政策制定等领域。
Data Gaps?
Backed by our bases in Shaanxi and Sichuan, we partner directly with over ten Grade-A tertiary hospitals, covering the full pipeline of compliant authorization, data collection and governance, professional annotation, and delivery — providing AI medical teams with ready-to-use, high-quality clinical data.
⚡️ Need data support or annotation services? Contact us now for a professional solution.
